Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems.
Riku Togashi|Kenshi Abe|Yuta Saito
| Anthology ID: | DBLP:conf/www/TogashiAS24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3307-3318 |
| URL: | https://doi.org/10.1145/3589334.3645390 |
| DOI: | https://doi.org/10.1145/3589334.3645390 |
| DBLP: | conf/www/TogashiAS24 |
| BibTeX: |
@inproceedings{togashi-2024-scalable,
author = {Riku Togashi and
Kenshi Abe and
Yuta Saito},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3307--3318},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645390},
doi = {https://doi.org/10.1145/3589334.3645390}
}